Supporting availability evaluation of a smart building monitoring system aided by fog computing

Abstract

Internet of Things (IoT) is increasingly present in people's lives, mainly to provide security and well-being. In homes and buildings, IoT sensors can monitor various factors such as temperature and the smoke presence. In case of danger, some action can be activated. However, a sensor network is a complex and fault-prone architecture. Evaluating an IoT architecture in this context is essential. Thus, the objective of this paper is twofold: (i) suggest a continuous time Markov chain (CTMC) model for a smart building monitoring system as a starting point; (ii) based on the results of a sensitivity analysis, an expanded CTMC with improved system availability and shorter outage periods is proposed. The proposed solution reduced the downtime by 98% compared with the baseline architecture. Systems administrators can use our models to evaluate their solutions.

Remote Big Data Management Tools, Sensing and Computing Technologies, and Visual Perception and Environment Mapping Algorithms in the Internet of Robotic Things

“…IoRT-based monitored and mobile edge computing environments [37][38][39][40] integrate sensor-based communication networks and fog computing technologies. Robotic operating and autonomous control systems harness sensor-actuator networks, machine learning techniques, and context recognition tools in relation to predictive performance of navigation and mapping tasks.…”

“…IoRT-based monitored and mobile edge computing environments integrate sensor-based communication networks and fog computing technologies. [33][34][35][36][37][38][39][40] Blockchain-based IoRT systems and networks leverage cloud and computing technologies, data mining and remote sensing tools, and deep and machine learning algorithms in visual object detection and recognition. Mobile robot fleets collect data from unknown environments using actuated devices and motion control algorithms.…”

“…Robotic knowledge sharing and computation task cooperation [33][34][35][36] require real-time complex data processing, motion coordination, and smart sensor devices. Image recognition algorithms and environment perception sensors [37][38][39][40] assist mobile autonomous robots in dynamic manufacturing environments.…”

Availability Evaluation of IoT Systems with Byzantine Fault-Tolerance for Mission-Critical Applications

“…In this article, we present an analytical model (based on CTMCs), that is able to evaluate BFT systems availability. The IoT systems are considered as collections of computing nodes [19][20][21]. In [19] a dependability study of IoT devices is considered.…”

“…Similarly, [20] explores IoT devices and edge-level applications in Fog computing environments, employing a generic CTMCbased resource availability model. Additionally, [21] develops a CTMC model and utilizes sensitivity analysis to enhance system availability. Our approach aligns with these studies by considering IoT applications at a generic level, making it applicable to similar scenarios.…”